2 of 2 Data Governance Jobs in Burton-upon-Trent

Our client is seeking an experienced Data Modeller to play a pivotal role in designing and maintaining high-quality data models that support strategic decision-making and data-driven initiatives. This role is essential in ensuring data structures align with business objectives, industry standards, and governance frameworks. Key Responsibilities Design, develop, and maintain conceptual, logical … and physical data models to meet evolving business needs. Ensure data models support data integrity, consistency, and security across systems. Define and uphold data modelling standards, methodologies, and best practices. Validate and reconcile data models to ensure accuracy and alignment with business requirements. Collaborate with data architects and stakeholders to deliver scalable, future-proof … data solutions. Support data governance, lineage, and master data management (MDM) initiatives. Conduct data profiling to identify and address data quality issues. Key Skills & Experience Proven expertise in developing and managing complex data models. Strong knowledge of data modelling tools, techniques, and database management systems. Experience designing and implementing robust database solutions. More ❯

Our client is seeking a highly skilled and experienced Data Modeller to lead the design and development of enterprise-level data models that underpin strategic initiatives and support a data-driven culture. This is a key role where your expertise will directly contribute to building robust, scalable, and future-ready data architecture. This is a hybrid … role with 2-3 days in the office per week . Key Responsibilities Design and maintain conceptual, logical, and physical data models to align with evolving business requirements. Develop detailed Entity Relationship (ER) diagrams and database designs using tools such as ERWIN . Translate business needs into structured data solutions through close collaboration with stakeholders and technical teams. … Gather and analyse requirements to inform effective data modelling strategies. Create comprehensive data mapping documentation and functional specifications for data engineering teams working within Databricks . Uphold data integrity, security, and quality across systems. Define and advocate for best practices in data modelling standards and methodologies. Support data governance, data lineage, and More ❯